class_docstr: Depth-wise and point-wise module.
   Args:
      in_channel (int): The input channels of this Module.
      out_channel (int): The output channels of this Module.
      kernel_size (int): The conv2d kernel size of this Module.
      stride (int): The conv2d's stride of this Module.
      act (str): The activation function of this Module,
                 Now support `leaky_relu` and `hard_swish`.
code: def forward(self, x):
      x = self.act_func(self.bn1(self.dwconv(x)))
      x = self.act_func(self.bn2(self.pwconv(x)))
      return x
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle import ParamAttr
label_desc: Use image node_id 3 for calling the DPModule obj's underlying member method code with example usage: obj.forward(x) and returns: x